Akey Sungheetha
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Rajesh Sharma RR RajeshR. ChinnaiyanSangram PatilT. KarthikeyanChairma Lakshmi K RR. Rajiv GandhiRekha R Nair
- Topics
- Brain Tumor Detection and Classification (11 papers)Energy Efficient Wireless Sensor Networks (5 papers)Artificial Intelligence in Healthcare (4 papers)
- Journals
- Transactions on Emerging Telecommunications TechnologiesJournal of Computer Networks and CommunicationsJournal of Medical Imaging and Health Informatics
- Partner nations
- IndiaEthiopiaUnited States
In The Last Decade
Akey Sungheetha
47 papers receiving 583 citations
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 214
- Artificial Intelligence 169
- Radiology, Nuclear Medicine and Imaging 111
- Electrical and Electronic Engineering 108
- Computer Networks and Communications 92
Countries citing papers authored by Akey Sungheetha
This map shows the geographic impact of Akey Sungheetha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akey Sungheetha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akey Sungheetha more than expected).
Fields of papers citing papers by Akey Sungheetha
This network shows the impact of papers produced by Akey Sungheetha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akey Sungheetha. The network helps show where Akey Sungheetha may publish in the future.
Co-authorship network of co-authors of Akey Sungheetha
This figure shows the co-authorship network connecting the top 25 collaborators of Akey Sungheetha. A scholar is included among the top collaborators of Akey Sungheetha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akey Sungheetha. Akey Sungheetha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | Effective Disaster Management by Efficient Usage of Resources | 2 |
| 20 | 4 |
About Akey Sungheetha
Akey Sungheetha is a scholar working on Neurology, Business and International Management and Health Information Management, having authored 84 papers that have together received 683 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (11 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (214 citations), Health Information Management (44 citations) and Neurology (50 citations). Akey Sungheetha has collaborated with scholars based in India, Ethiopia and United States. Frequent co-authors include Rajesh Sharma R, R Rajesh, R. Chinnaiyan, Sangram Patil, T. Karthikeyan, Chairma Lakshmi K R, R. Rajiv Gandhi, Rekha R Nair, Sumit Kumar Banshal and Shreya Hegde. Their work appears in journals such as Transactions on Emerging Telecommunications Technologies, Journal of Computer Networks and Communications and Journal of Medical Imaging and Health Informatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.